Search
Now showing items 1-5 of 5
Large Eddy Simulation of High Reynolds Number Nonreacting and Reacting JP 8 Sprays in a Constant Pressure Flow Vessel With a Detailed Chemistry Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In military propulsion applications, the characterization of internal combustion engines operating with jet fuel is vital to understand engine performance, combustion phasing, and emissions when JP8 is fully substituted ...
Capturing Cyclic Variability in Exhaust Gas Recirculation Dilute Spark Ignition Combustion Using Multicycle RANS
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Dilute combustion is an effective approach to increase the thermal efficiency of sparkignition (SI) internal combustion engines (ICEs). However, high dilution levels typically result in large cycletocycle variations (CCV) ...
Optimization and Uncertainty Analysis of a Diesel Engine Operating Point Using Computational Fluid Dynamics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study describes the use of an analytical model, constructed using sequential design of experiments (DOEs), to optimize and quantify the uncertainty of a diesel engine operating point. A genetic algorithm (GA) was also ...
High-Fidelity Energy Deposition Ignition Model Coupled With Flame Propagation Models at Engine-Like Flow Conditions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With the heightened pressure on car manufacturers to increase the efficiency and reduce the carbon emissions of their fleets, more challenging engine operation has become a viable option. Highly dilute, boosted, and ...
Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This work evaluates different optimization algorithms for computational fluid dynamics (CFD) simulations of engine combustion. Due to the computational expense of CFD simulations, emulators built with machine learning ...